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Remote Sensing Core Laboratory

Director: Anjaneyulu, Yerramilli, Ph.D.


The Visualization Core Laboratory / GIS Remote Core Laboratories were established to bond existing capabilities and talents in the areas of Geographic Information Systems (GIS), Remote Sensing (RS) and Scientific Visualization (Sci-Viz) and co-locate them in a centralized facility. This created an infrastructure of technology, data, people and institutional linkages that enables the discovery, evaluation and application of geospatial and visual data for adding value to research across various areas and disciplines.

The GIS/RS laboratories support the development, enhancement and transfer of GIS/RS applications, make geospatial data available and accessible and promote research and development innovation among users. The Sci-Viz laboratory supports the need of scientists and researchers relative to modeling, program application development and production of high quality advanced visualizations for all fields or disciplines. The TLGVRC addresses human resource development to ensure a skilled workforce which is vital for sustenance of any high level technology activity.






  • ENVI ( Software )

    "The ENVI product family provides a variety of software solution for processing and analyzing geospatial imagery used by scientists, researchers, image analysts, and GIS professionals around the world. ENVI solutions combine the latest spectral image processing and image analysis technology with an intuitive, user-friendly interface to help you get meaningful information from imagery."

  • ERDAS ( Software )

    Image processing software.

  • Esri ArcView ( Software )

    "ArcView is geographic information system (GIS) software for visualizing, managing, creating, and analyzing geographic data. Using ArcView, you can understand the geographic context of your data, allowing you to see relationships and identify patterns in new ways."

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Last updated: 2012-06-06T08:38:49.765-05:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016